Eintrag in der Universitätsbibliographie der TU Chemnitz
Mnif, Mahdi* ; Sahnoun, Salwa ; Djemaa, Mahdi ; Fakhfakh, Ahmed ; Kanoun, Olfa
Exploring Model Compression Techniques for Efficient 1D CNN-Based Hand Gesture Recognition on Resource-Constrained Edge Devices
| Universität: | Technische Universität Chemnitz | |
| Institut: | Professur Mess- und Sensortechnik | |
| Dokumentart: | Konferenzbeitrag, referiert | |
| ISBN/ISSN: | Electronic ISBN: 979-8-3503-5148-4 ; Print on Demand(PoD) ISBN: 979-8-3503-5149-1 ; Electronic ISSN: 2687-878X ; Print on Demand(PoD) ISSN: 2641-5941 | |
| DOI: | doi:10.1109/atsip62566.2024.10638925 | |
| URL/URN: | https://ieeexplore.ieee.org/document/10638925 | |
| Quelle: | 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), 11-13 July 2024, Sousse, Tunisia. - IEEE, 2024 | |
| Freie Schlagwörter (Englisch): | Edge computing , Internet of Things , Electrical Impedance Tomography , Convolutional Neural Network , Model Compression , Pruning , Knowledge Distillation , Quantization |
